IoT-based Air Quality Monitoring Alert System in kindergarten for children with asthma

Air pollution has become the main concern in the world because it has increased rapidly nowadays. A lot of health issues are caused by the air pollution especially related to breathing such as asthma. Children are much more vulnerable to asthma than adults, especially in a crowded and closed place such as kindergarten. Pollutants in the air are also cannot be seen thus making it more difficult to avoid them. The aim of this research is to develop a prototype of loT-Based Air Quality Monitoring Alert System to help teachers to monitor the air quality in the kindergarten thus reducing the risk of children getting asthma attacks. The prototype has been developed using NodeMCU ESP32, Adafruit IO, and Telegram. The sensors that have been used are SDSOI 1 sensor for measuring particulate matter and DHTI 1 for measuring temperature and humidity. This research has tested the functionality of the prototype and tested the network in terms of response time to send the alert notifications. Through the result gained from this research, it was proven that the prototype can successfully monitor the air quality inside the classroom and send the alert notifications to the teachers via Telegram.